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Prediction models for insulin resistance.
1996 (English)In: Blood Pressure, ISSN 0803-7051, E-ISSN 1651-1999, Vol. 5, no 5, p. 274-7Article in journal (Refereed) Published
Abstract [en]

A prediction model for estimating insulin resistance in hypertensive patients is presented. Body-mass index, serum triglyceride concentrations and liver enzyme activity in plasma correlate to insulin resistance determined with the euglycaemic, hyperinsulinaemic clamp technique. Prediction models using body-mass index and either triglycerides or serum alanine-amino transferase were equally good in predicting insulin resistance and gave results that were as reliable as those obtained in a model using fasting-insulin concentrations. The hyperinsulinaemic clamp had a reproducibility error of 14%, and body-mass index and serum triglycerides had a multiple correlation of 0.57 to the insulin-sensitivity results. The model predicts insulin resistance with acceptable statistical power, whereas the power to predict high values of insulin sensitivity is less good.

Place, publisher, year, edition, pages
1996. Vol. 5, no 5, p. 274-7
National Category
Endocrinology and Diabetes
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URN: urn:nbn:se:uu:diva-394864PubMedID: 8879599OAI: oai:DiVA.org:uu-394864DiVA, id: diva2:1359627
Available from: 2019-10-09 Created: 2019-10-09 Last updated: 2019-10-09

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